A telehealth system for automated diagnosis of asthma and chronical obstructive pulmonary disease. (18th May 2018)

• Record Type: Journal Article
• Authors: Gurbeta, Lejla; Badnjevic, Almir; Maksimovic, Mirjana; Omanovic-Miklicanin, Enisa; Sejdic, Ervin
• Is Part Of: Journal of the American Medical Informatics Association. Volume 25:Number 9(2018)
• Page Start: 1213
• Page End: 1217
• Publication Date: 2018-05-18
• Subjects: healthcare -- telehealth -- respiratory disease -- asthma -- COPD -- telemetry -- expert system; Medical informatics -- Periodicals; Information Services -- Periodicals; Medical Informatics -- Periodicals; Médecine -- Informatique -- Périodiques; Informatica; Geneeskunde; Informatique médicale; Computer network resources; Electronic journals; 610.285
• DOI: 10.1093/jamia/ocy055
• Languages: English
• ISSNs: 1067-5027

Abstract

Abstract: This paper presents the development and real-time testing of an automated expert diagnostic telehealth system for the diagnosis of 2 respiratory diseases, asthma and Chronic Obstructive Pulmonary Disease (COPD). The system utilizes Android, Java, MATLAB, and PHP technologies and consists of a spirometer, mobile application, and expert diagnostic system. To evaluate the effectiveness of the system, a prospective study was carried out in 3 remote primary healthcare institutions, and one hospital in Bosnia and Herzegovina healthcare system. During 6 months, 780 patients were assessed and diagnosed with an accuracy of 97.32%. The presented approach is simple to use and offers specialized consultations for patients in remote, rural, and isolated communities, as well as old and less physically mobile patients. While improving the quality of care delivered to patients, it was also found to be very beneficial in terms of healthcare.